code: def get_dimensions(img: Any) -> List[int]:
      if _is_pil_image(img):
          if hasattr(img, "getbands"):
              channels = len(img.getbands())
          else:
              channels = img.channels
          width, height = img.size
          return [channels, height, width]
      raise TypeError(f"Unexpected type {type(img)}")
  
imports: import numbers
  from typing import Any, Dict, List, Literal, Optional, Sequence, Tuple, Union
  import numpy
  import torch
  from PIL import Image, ImageEnhance, ImageOps
label_desc: Use image node_id 2 for calling a global function with example usage: get_dimensions(img) and returns: list